Streaming speech recognition and full-duplex conversational AI are reshaping how voice assistants work. Here's why low-latency listening matters for the next generation of speech LLMs and voice-driven synthetic media.
Sam Altman's World project partners with Zoom to bring proof-of-human verification to video meetings, tackling the rising threat of real-time deepfake impersonation in enterprise communications.
Knowledge distillation lets smaller AI models inherit capabilities from larger ones. Here's how the technique works, why it matters for synthetic media models, and why it sits at the center of today's biggest AI controversies.
Secured Signing reports 45% month-on-month growth in notary adoption of its deepfake detection feature, signaling rapid uptake of synthetic media defenses in remote online notarization workflows.
A roundup of leading AI red teaming tools used to probe, stress-test, and harden machine learning models against adversarial attacks, jailbreaks, and data leakage in 2026.
NVIDIA's Nemotron-OCR-v2 leverages large-scale synthetic data to deliver fast, multilingual document OCR, pushing the envelope on efficient vision-language models for structured text extraction.
Chinese AI lab DeepSeek is reportedly raising $300M to accelerate frontier model development and compete with OpenAI, Anthropic, and Google DeepMind. The move signals intensifying geopolitical stakes in the AI race.
A technical deep dive into how LLMs manage memory during inference, what happens when the KV cache exceeds GPU limits, and the strategies engineers use to keep long-context generation viable.
Mimi is a low-bitrate neural audio codec designed to tokenize speech for large language models, enabling real-time speech generation and the next wave of voice AI systems like Moshi.
Researchers are fighting fire with fire: generating synthetic deepfakes at scale to train more robust detection models capable of keeping pace with rapidly evolving generative AI threats.
Canva's major AI 2.0 update introduces prompt-based editing across its design platform, bringing generative AI image and video tools to over 200 million users in a bid to reshape creative workflows.
MIT Technology Review examines why meaningful human oversight of autonomous AI weapons systems may be impossible, as machine-speed decision cycles outpace human cognition and create only the illusion of control.